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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 1121
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    numerical data and statistical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    emort
    -0.71
     waiter
    -0.68
    inelli
    -0.67
     retina
    -0.66
     waitress
    -0.63
     CONTIN
    -0.63
     sacrific
    -0.63
     exha
    -0.63
     transact
    -0.62
    ramid
    -0.61
    POSITIVE LOGITS
    wm
    0.93
    mx
    0.85
    nb
    0.83
    cks
    0.82
    e
    0.81
    dn
    0.74
    cpp
    0.73
    cade
    0.73
    Ever
    0.73
    utor
    0.71
    Activations Density 0.098%

    No Known Activations